ai scientist

Intuit

<div><p>Category Data</p>
<p>Location Bangalore, India
</p><p>Job ID 19427</p></div>
<br><div><div><p>Company Overview</p>
<div><p>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.</p>
</div></div><div><p>Job Overview</p>
<p>Intuit is looking for a highly motivated and experienced <b>Principal Machine Learning Engineer</b> to join the <b>Monetization &amp; Personalization</b> team. Our mission is to drive measurable business and customer impact by building intelligent, personalized, and revenue-optimizing experiences across Intuit&rsquo;s ecosystem of financial products.</p><p>
In this role, you will lead the design and deployment of advanced Machine Learning and AI systems that power <b>personalized recommendations, dynamic pricing, offer optimization, customer segmentation, experimentation, and lifecycle monetization</b>. You will work closely with Data Scientists, Product Managers, and Engineers to translate customer intent and behavioral signals into scalable, production-ready ML solutions that improve engagement, conversion, retention, and lifetime value.</p><p><b><br>
Responsibilities</b></p><ul><li><p><b>
Lead the design, implementation, and deployment of end-to-end ML systems</b> that drive personalization and monetization use cases such as recommendations, next-best-action, offer targeting, pricing optimization, churn prediction, and customer lifetime value modeling.</p></li><li><p><b>
Architect scalable ML platforms and pipelines</b> for ingesting high-volume behavioral, transactional, and contextual data; building robust training, evaluation, and experimentation frameworks; and deploying models that deliver quantifiable revenue and customer outcomes.</p></li><li><p><b>
Embed Intuit&rsquo;s domain expertise</b> into models using techniques such as feature engineering, representation learning, fine-tuning, prompt engineering, and hybrid rule-based + ML approaches where appropriate.</p></li><li><p><b>
Accelerate innovation through rapid experimentation</b>, building prototypes to validate hypotheses and scaling successful approaches into reliable, production-grade systems.</p></li><li><p><b>
Partner closely with Product, Data Science, and Design teams</b> to align ML solutions with monetization strategy, customer journeys, and personalization goals.</p></li><li><p><b>
Define and drive a multi-year technical roadmap</b> for personalization and monetization ML, ensuring the team stays ahead of industry trends in AI, experimentation, and decision intelligence.</p></li><li><p><b>
Influence and contribute to Intuit&rsquo;s ML platform architecture</b>, including model serving, feature stores, experimentation platforms, and real-time decisioning systems.</p></li><li><p><b>
Champion technical excellence, operational rigor, and responsible AI practices</b>, including fairness, transparency, and measurement of customer impact.</p></li></ul><ul><li><p><b>
Mentor and grow junior engineers</b>, setting a high bar for engineering quality, ML rigor, and system design.</p></li></ul><p><b><br>
Qualifications</b></p><ul><li><p>
MS or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field; equivalent industry experience will be considered.</p></li><li><p><b>
10+ years of experience</b> building and deploying Machine Learning solutions in production, with demonstrated impact on business or customer outcomes.</p></li><li><p>
Strong Computer Science fundamentals, including data structures, algorithms, distributed systems, and performance optimization.</p></li><li><p>
Expertise in <b>Python, Java, or Scala</b>, and ML frameworks such as <b>TensorFlow or PyTorch</b>.</p></li><li><p>
Solid understanding of <b>ML techniques relevant to personalization and monetization</b>, including:</p><ul><li><p>
Recommendation systems</p></li><li><p>
Classification and regression models</p></li><li><p>
Customer segmentation and propensity modeling</p></li><li><p>
Experimentation, A/B testing, and causal inference (nice to have)</p></li></ul></li><li><p>
Experience designing <b>highly scalable ML systems on cloud platforms</b> (AWS, GCP, or Azure) that serve millions of users with low latency and high reliability.</p></li></ul><ul><li><p>
Strong communication and collaboration skills, with the ability to clearly explain complex technical concepts to both technical and non-technical stakeholders.</p></li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div></div><p></p>

Principal AI Scientist

HighLevel

<div><div><b>About Us</b></div><div>
HighLevel is an AI powered, all-in-one white-label sales &amp; marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.</div><div></div><div><b><br>
Our People</b></div><div>
With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.</div><div></div><div><b><br>
Our Impact</b></div><div>
As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.</div><div></div><div><b><br>
Why Join HighLevel?</b></div><ul><li>Collaborative Culture: A passionate and driven team.</li><li>Ownership and Responsibility: It&rsquo;s never somebody else&rsquo;s job.</li><li>User-Centric: Focused on adding value for our users.</li><li>Agility: Fast delivery using lean principles, going to market in weeks instead of quarters.</li><li>Innovation: Good ideas always get tested.</li><li>Team Care: We take care of our team so they can take care of our users.</li><li>Continuous Improvement: Embracing constant and iterative improvement.</li><li>Learning Opportunity: Learn how to scale a B2B SaaS startup and build impactful products.</li></ul><div></div><div><b><br>
About the Team</b></div><div>
The Workflows Module is the key component of HighLevel&rsquo;s automation engine, enabling agencies and businesses to create powerful, automated workflows that enhance efficiency, save time, and improve outcomes. By integrating with multiple product areas within the HighLevel platform, the Workflows Module empowers users to streamline processes, nurture leads, and manage tasks seamlessly.</div><div>
As part of the team, you&rsquo;ll work on improving existing capabilities within workflows, conceptualizing new workflow features, and delivering solutions that drive adoption, activation, and business growth. The team is committed to optimizing user experience, increasing efficiency, and helping customers get the most value out of HighLevel.</div><div></div><div><b><br>
About the Role</b></div><div>
We are seeking a Data Scientist to drive data-driven decision making for our Generative AI products. In this role, you will transform thousands of daily AI interaction traces into actionable insights, build evaluation frameworks for AI quality assurance, and leverage billions of workflow executions to identify high-potential use cases. You'll work closely with product and engineering teams to turn complex data into strategic recommendations that shape our AI roadmap.</div><div></div><div><b><br>
Responsibilities:</b></div><div>
- Data Preparation - Prepare and maintain datasets for AI product evaluation, create annotation pipelines, build ground truth datasets, and support fine-tuning efforts with curated training examples</div><div>
- AI Model Evaluation - Test agent performance across model versions and prompt variations, build automated evaluation pipelines, and generate periodic reports that inform model selection and prompt engineering</div><div>
- Product Intelligence - Analyze user request patterns to identify high-demand use cases and capability gaps, cluster and classify large volumes of traces to find common themes and edge cases</div><div>
- User Analytics - Identify behaviors differentiating power users from casual users, analyze which user segments or industries drive highest engagement, and build statistical models to understand success vs failure drivers</div><div>
- Workflow Analytics - Optimize the first-time user funnel, correlate workflow usage patterns with customer retention, and identify power user behaviors across all workflows</div><div>
- Cost Optimization - Track quality metrics over time and alert on degradation, analyze token usage to identify cheaper model opportunities, and monitor latency across the agent pipeline (RAG, embeddings, generation)</div><div>
- Experimentation - Design and analyze statistically rigorous A/B tests for prompts and features, test new agent capabilities, and measure feature impact on user behavior and success rates</div><div></div><div><b><br>
Requirements:</b></div><ul><li>5+ years of experience in data science, analytics, or related role with demonstrated ownership of end-to-end analytics projects</li><li>Strong Python and SQL skills for working with large datasets at scale</li><li>Deep expertise in statistical analysis, experimental design, and A/B testing methodologies</li><li>Experience building data pipelines, automation scripts, and evaluation frameworks</li><li>Hands-on experience with LLM applications, prompt engineering, or AI products</li><li>Exceptional attention to detail with ability to identify edge cases and patterns in complex data</li></ul><div>
- Strong communication skills - able to explain complex findings simply to stakeholders</div><ul><li>Bachelor's degree or equivalent in Computer Science, Data Science, Statistics, Engineering, or related field</li></ul><div></div><div><b><br>
Nice to Have:</b></div><ul><li>Familiarity with AI observability tools (Langfuse, LangSmith, Weights &amp; Biases) or ML monitoring platforms</li><li>Experience with RAG pipelines, embedding models, and LLM evaluation frameworks</li><li>B2B SaaS or product analytics background</li><li>Track record of working with workflow automation or marketing automation platforms</li></ul><div></div><div><b><br>
Why Should You Join Us?</b></div><div>
At HighLevel, we foster an exciting and dynamic work environment driven by a passionate team. We believe in a collective responsibility where no task is considered someone else's job. Our unwavering focus is on providing value to our users, and we achieve this by delivering solutions swiftly through lean principles, allowing us to bring products to market in a matter of weeks rather than quarters. Every good idea is put to the test, ensuring that we maintain a high standard of innovation. We prioritise the well-being of our team, recognizing that by taking care of them, they can better serve our users. We embrace the concept of continuous and iterative improvement, understanding that progress is an ongoing journey. We are also a well funded &amp; profitable company.</div><div></div><div><br>
Join us at High Level, and you will have the opportunity to learn the intricacies of scaling a B2B SaaS startup and develop impactful products that cater to the needs of our customers.</div><br>
<div></div>
<div><b>
EEO Statement</b></div><div>
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.</div><div></div><div><br>
#LI-Remote #LI-MP1</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Sr. Applied AI Scientist

MSPIRE VENTURES PRIVATE LIMITED

<p>Lead AI &amp; Data Scientist and take ownership of cutting-edge<br/>AI/ML initiatives that power real-world industrial automation systems. You'll architect and deploy production-grade machine learning models that directly impact critical infrastructure operations.<br/><b>Key Responsibilities</b><br/>- Design, develop, and deploy predictive models for industrial applications<br/>- Build and maintain robust data pipelines for real-time sensor data ingestion, validation, and processing<br/>- Implement safety-critical logic with bulletproof failsafe's, redundancy checks, and emergency protocols<br/>- Collaborate directly with the CTO on model architecture and strategic AI decisions<br/>- Mentor Backend Engineers and AI Support Interns on ML best practices<br/>- Handle industrial sensor data challenges including noise, sensor drift, and connectivity drops<br/>- Work closely with IoT Engineers on data integration from PLCs and SCADA systems<br/>- Present technical findings and model performance metrics to stakeholders and investors<br/>Required Qualifications<br/><b>Experience:</b><br/>- 4-6 years of hands-on experience in AI/ML with proven industrial or IoT project background<br/>- Strong expertise in Time-Series Forecasting, Anomaly Detection, or Predictive Maintenance<br/>- Track record of shipping production AI systems (not just academic projects)<br/>Technical Skills:<br/>- Advanced proficiency in Python, scikit-learn, TensorFlow/PyTorch, Pandas, NumPy etc.<br/>- Hands-on experience with real-time data processing frameworks (Apache Kafka, Stream<br/>Processing)<br/>- Understanding of model deployment, containerization (Docker), and cloud ML pipelines<br/>- Experience with industrial PLCs, SCADA systems, or control engineering (highly valued)</p><p>Job Types: Full-time, Permanent</p><p>Pay: ₹1,027,569.44 - ₹2,291,194.54 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

LEAD AI & DATA SCIENTIST

SWITS DIGITAL Private Limited

<div>
 <strong>
  Job Description : Data Scientist / AI Specialist
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  <br/>
 </strong>
 Location: Chennai,
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 Experience: 5&ndash;7 Years
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 <strong>
  Role Overview
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  <br/>
 </strong>
 As a Data Scientist/AI Specialist, you will be the primary engine for discovering hidden
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 insights and building predictive models that drive business value. You are responsible
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 for the entire analytical lifecycle&mdash;from identifying patterns in raw data to implementing
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 complex models in production. You will bridge the gap between abstract data and
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 actionable business strategy through advanced statistics, NLP, and Computer Vision.
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  Key Responsibilities
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  Advanced Model Development: Design and build high-performance predictive
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 models and machine learning algorithms to solve complex analytical problems.
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  Business Intelligence: Translate raw data patterns into business insights using
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 Power BI to drive executive decision-making.
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  Validation &amp; Training: Conduct rigorous model training and validation to ensure
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 accuracy, reliability, and ethical AI standards.
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  Requirement Analysis: Work closely with stakeholders to understand business
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 pain points and design technical solutions that capture value.
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  Documentation: Maintain thorough documentation of data experiments, model
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 versions, and logic for seamless knowledge transfer
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  Core Competencies (The Skillet)
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   Analytics &amp; Specialization
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  Algorithms: Mastery of advanced statistics and ML algorithms (Regression,
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 Clustering, Decision Trees, Neural Networks).
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  NLP &amp; Vision: Specialized experience in Natural Language Processing (Text
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 mining, sentiment analysis) and Computer Vision (Object detection, image
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 classification).
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  Modeling: Expertise in feature engineering and data modeling to ensure high-
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 quality "fuel" for AI.
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   Tools &amp; Platforms
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  Languages: Expert-level proficiency in Python (Pandas, Scikit-learn) or R.
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  Environments: Extensive experience using Jupyter Notebooks for
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 experimentation and Azure ML Studio for production-grade deployments.
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  Visualization: Ability to build interactive dashboards in Power BI to
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 communicate insights to non-technical teams.
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   Business &amp; Strategy
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  Insight Discovery: Proven ability to look at unstructured data and find
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 opportunities for cost savings or revenue growth.
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  Solution Design: Ability to define the architecture of a data science project
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 before writing a single line of code.
</div>


AI Data Scientist

<div><div><b>We help the world run better</b><br>
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><p></p><p><b><br>
WHAT YOU'LL BUILD</b></p><p>
We are looking for a AI Data Scientist with the mindset for highest level of service for our internal customers and support to take SAP&rsquo;s Marketing Technology Stack to the next level as part of our transformation journey to achieve SAP&rsquo;s goals. In your role as AI Data Scientist, you will be responsible for:</p><ul><li>
Data Collection and Preparation: Collect, clean, integrate, and preprocess large, multi-source datasets, enforcing data quality, consistency, and reproducibility.</li><li>
Translate business problems into data science and machine learning solutions</li><li>
Feature Engineering: Design, select, and validate features from raw data to strengthen signal and improve model performance and robustness.</li><li>
Model Development and Training: Build and train machine learning models&mdash;spanning classical ML, deep learning, and NLP&mdash;choosing appropriate algorithms, architectures, and frameworks.</li><li>
Model Evaluation and Optimization: Evaluate models with relevant metrics; conduct error analysis, hyperparameter tuning, and calibration to maximize accuracy and efficiency.</li><li>
Deployment and Monitoring: Deploy models to production and establish scalable, reliable inference pipelines; instrument monitoring for performance, drift, and data quality to ensure SLAs are met.</li><li>
Communication and Collaboration: Communicate findings and recommendations to stakeholders; collaborate with engineers and other data scientists to deliver and operationalize AI solutions.</li><li>
Research and Innovation: Stay current with advances in AI/ML; experiment with new techniques to enhance existing models and develop novel solutions.</li></ul><p></p><p><b><br>
WHAT YOU BRING:</b></p><p>
You have a track record of shipping production-grade data systems that are reliable, observable, and cost-efficient. You communicate clearly with both technical and non-technical stakeholders and turn ambiguous requirements into well-defined data products. You value ownership, code quality, and continuous improvement, mentoring peers and elevating standards.</p><ul><li>
7 - 12 years of hand-on experience as Data Scientist or similar</li><li>
Educational Background: Master&rsquo;s or PhD in Data Science, Artificial Intelligence, Machine Learning, Computer Science, Statistics, or a related field preferred.</li><li>
Technical Skills:<ul><li>
Strong proficiency in Python (Pandas, NumPy, Scikit‑learn)</li><li>
Solid foundation in statistics, probability, and machine learning</li><li>
Experience with SQL and structured data analysis</li><li>
Hands‑on experience with data visualization and storytelling Experience working in notebooks (Jupyter, Databricks).</li><li>
Deep learning frameworks (TensorFlow or PyTorch)</li></ul></li><li>
Analytical Skills: Strong analytical mindset with the ability to interrogate complex datasets and translate findings into clear, actionable insights.</li><li>
Soft Skills: Excellent communication to explain technical concepts to non-technical stakeholders, coupled with strong problem-solving and collaboration skills.</li></ul><p></p><p><b><br>
WHERE YOU BELONG</b></p><p>
Our Go-To-Market Services for Marketing team as part of the Customer &amp; Partner unit within the global Corporate Processes &amp; Information Technology (CPIT) Organization is responsible for the design, implementation and operations of IT solutions, supporting SAP&rsquo;s core business processes mainly in Marketing and closely interacting with respective LoBs. Here, we act as the Businesses trusted advisor and expert, driving together the simplification, harmonization, and intelligence of business processes. We enable solutions for the Demand-to-Lead process area with the adoption of state-of-the-art solutions embracing innovation as well as new technologies to achieve higher effectiveness.</p><p>
Besides our day-to-day business we are passionate about technology and always looking for new options to improve the way we work and deliver value to business. You want to make a difference &ndash; join us today!</p><p></p><p><br>
#LI-RN4</p><p></p><div><b><br>
Bring out your best</b><br>
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
<br>
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<b>We win with inclusion</b><br>
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>
<br>
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>
<br>
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>
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Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br>
<br>
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div><b><br>
AI Usage in the Recruitment Process</b></div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div><p>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
<br>
Requisition ID: 447259 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</p></div>

Senior AI Data Scientist

Lila Sciences

<div>
 <strong>
  Your Impact at Lila
  <br/>
  <br/>
 </strong>
 As a Research Scientist in our Physical Sciences organization, you develop state-of-the-art generative modeling techniques applied to critical challenges in materials science. You will be working with cross-functional machine learning experts, software engineerings and materials scientists across multiple teams at Lila to create and deploy generative models for Lila&rsquo;s unique materials design challenges. In addition to pushing the state of the art, what is really exciting about this role is to see a clear impact of your methods on real-world materials that are being built and improved in our experimental facilities on a daily basis.
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  What You'll Be Building
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 </strong>
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   Generative Models: Design and implement generative models (Diffusion models, flow-based models) and advanced sampling methods for diverse materials design challenges.
  </li>
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   Data Representation: Develop novel architectures &amp; methods based on physics-informed constraints and domain knowledge informed inductive biases aimed at representing and modeling materials across a wide range of chemical space for real-world applications.
  </li>
  <li>
   Real-World Validation &amp; Deployment: Create and validate datasets, frameworks, and methods for validating generative models on experimentally realized materials. Partner with software engineers and product managers to deploy solutions.
  </li>
  <li>
   Cross-Functional Partnership: Work closely with R&amp;D leadership, product managers, and automation specialists to translate scientific questions into data requirements and modeling strategies.
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   <br/>
  </li>
 </ul>
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  What You&rsquo;ll Need To Succeed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python, deep learning frameworks and end-to-end workflow deployment.
  </li>
  <li>
   Understanding of modern generative modeling methods (diffusion models, flow matching models, geometric deep learning methods) and their applications to scientific problems, including materials science, chemistry or biology (e.g. proteins).
  </li>
  <li>
   Elementary understanding of materials science, physics and chemistry and how their principles can be infused into generative model design.
  </li>
  <li>
   Strong self-starter and independent thinker, with strong attention to detail.
  </li>
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   Demonstrated industry experience or academic achievement.
  </li>
  <li>
   Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner.
  </li>
  <li>
   Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD in Materials Science, Computer Science, Physics, Chemistry, or related field with strong publication record in machine learning (NeurIPS, ICML, ICLR) and scientific (Nature, Science, Cell Press Matter, IOP) venues.
  </li>
  <li>
   Experience with computational materials science methods (DFT, Molecular Dynamics).
  </li>
  <li>
   Understanding of experimental materials science techniques related to synthesis and characterization.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Lila
  <br/>
  <br/>
 </strong>
 Lila Sciences is the world&rsquo;s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai
 <br/>
 <br/>
 If this sounds like an environment you&rsquo;d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 We expect the base salary for this role to fall between
 <strong>
  $176,000-$304,000 USD per year
 </strong>
 , along with bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.
 <br/>
 <br/>
 <strong>
  We&rsquo;re All In
  <br/>
  <br/>
 </strong>
 Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 <br/>
 <br/>
 Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
 <br/>
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 <strong>
  A Note to Agencies
  <br/>
  <br/>
 </strong>
 <em>
  Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science&rsquo;s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
 </em>
</div>


AI Scientist I/II, Generative Modeling for Materials Science

3rdeyesoft

<p><b>Position:</b> AI Research Scientist / AI PhD (Healthcare)<br/><b>Company:</b> 3rdEyeSoft<br/><b>Location:</b> Multan (On-site)<br/><b>Job Type:</b> Full-Time</p><p>About 3rdEyeSoft</p><p>3rdEyeSoft is a Digital Healthcare Company focused on transforming healthcare through advanced technology and applied research. We build intelligent, AI-powered health solutions that support physicians, improve diagnostics, and enable data-driven clinical decision-making. Our work spans healthcare analytics, disease prediction systems, medical AI research, and smart health applications.</p><p>Position Overview</p><p>We are seeking a highly motivated <b>PhD-level AI Researcher</b> to lead and contribute to advanced AI/ML research initiatives in healthcare. This role is ideal for candidates with a strong academic background who want to apply research to real-world healthcare problems. You will work closely with clinicians, engineers, and product teams to design, validate, and deploy cutting-edge AI solutions.</p><p>Key Responsibilities</p><ul><li>Design, research, and develop advanced AI/ML models for healthcare use cases such as disease prediction, risk stratification, and patient outcome analysis.</li><li>Conduct applied research using large-scale healthcare datasets and translate findings into production-ready solutions.</li><li>Explore and implement state-of-the-art techniques in deep learning, NLP, computer vision, and predictive analytics for medical data.</li><li>Collaborate with physicians, product designers, and engineers to align AI research with clinical and business needs.</li><li>Evaluate model performance, interpretability, fairness, and clinical relevance.</li><li>Ensure compliance with healthcare data privacy, security, and ethical AI standards.</li><li>Stay updated with the latest AI research, publish findings when applicable, and propose innovative healthcare AI solutions.</li><li>Mentor junior AI/ML engineers and contribute to building a strong research culture within the company.</li></ul><p>Required Skills &amp; Qualifications</p><ul><li><b>PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a closely related field.</b></li><li>Strong research background in AI/ML with publications or thesis work in relevant domains (preferred).</li><li>Excellent programming skills in <b>Python</b> and hands-on experience with <b>PyTorch, TensorFlow, or Scikit-learn</b>.</li><li>Solid understanding of deep learning architectures, optimization techniques, and model evaluation.</li><li>Experience working with healthcare data (EHR, medical imaging, biosignals, wearable data) is a strong plus.</li><li>Knowledge of <b>NLP, medical chatbots, clinical prediction models, or computer vision for healthcare</b> is highly desirable.</li><li>Strong analytical thinking, problem-solving ability, and communication skills.</li><li>Ability to bridge academic research with real-world product development.</li></ul><p>What We Offer</p><ul><li>Competitive salary package aligned with research expertise.</li><li>Opportunity to work on impactful, real-world healthcare AI problems.</li><li>Research-driven and collaborative work environment.</li><li>Access to healthcare datasets and applied AI projects.</li><li>Long-term growth opportunities in AI research and digital healthcare innovation.</li></ul><p>Job Type: Full-time</p><p>Pay: From Rs150,000.00 per month</p><p>Work Location: In person</p>

AI Research Scientist / AI PhD (Healthcare)

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